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imvladikon
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whisper-medium-he

Automatic Speech Recognition
Transformers
Safetensors
Hebrew
whisper
Generated from Trainer
Inference Endpoints
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whisper-medium-he / README.md
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metadata
license: apache-2.0
base_model: imvladikon/whisper-medium-he
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-medium-he
    results: []

whisper-medium-he

This model is a fine-tuned version of imvladikon/whisper-medium-he on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2061
  • Wer: 13.4020

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0983 0.1 1000 0.3072 16.4362
0.1219 0.2 2000 0.2923 15.6642
0.134 0.3 3000 0.2345 13.7450
0.2113 0.39 4000 0.2061 13.4020

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0